Mr Hinton was somewhat vague and brief in his statements here, though. What do you think the crisis point is that he's reached exactly? (It must be sure enough for the man who introduced the paradigm in the first place to have caught on, yet the change of thought process unclear enough for him to recognize that it will be somebody newer who will have to introduce something else)
This may be where my limited knowledge is my handicap, but I didn't think you would need an AGI in order to achieve unsupervised learning. There would still be an input and an output as there is now -- but instead of massive datasets used in training the models could simple experience the problem in real time, adjusting and learning based upon new results. Of course unsupervised learning models could contribute greatly to the pursuit of AGI, but I didn't think AGI predicate unsupervised learning models (which is what I am taking from the article -- or more like article abstract -- here).
Word2vec, a variant of which is Transform, Google's new machine translation framework which beats the pants off every other approach, to name one. The system it is replacing is also unsupervised.